scholarly journals Kinerja Bus Trans Padang Koridor IV dan Karateristik Penumpangnya

2021 ◽  
Vol 18 (2) ◽  
pp. 175-185
Author(s):  
Salma Wahid Zaidir ◽  
Purnawan Purnawan
Keyword(s):  
Performance Analysis ◽  
Waiting Time ◽  
Director General ◽  
Load Factor ◽  
Final Destination ◽  
Bus Stop ◽  
Urban Village ◽  
Destination Area ◽  
Work Trip ◽  
Age Range

In order to counterbalance movement of the city is by building mass transportation. However, the number of users who interested in using Trans Padang Corridor IV is relatively low. Analysis of the performance and passengers characteristics of the Trans Padang Corridor IV Bus is useful for improving performance based on the characteristics of the passengers. This study used a quantitative method in the form of observations, interviews, and also questionnaires which were described descriptively. Performance analysis was based on the decision of the Director General of Land Transportation No.SK.687/AJ.206/DRJD/2002. Based on the performance analysis (load factor, headway, waiting time, amount of buses, travel time, speed, capacity and cycle time) only waiting time was in accordance with the reference. For the passengers characteristics dominated by women, age range 36-45 years old, live in Lubuk Buaya urban village, private employee occupation, salary range <Rp. 500,000, do not have personal vehicle, the distance from the house to the bus stop is about 500m-1 km, work trip destination, reach the departure bus stop and final destination on foot, the time took from the departure to the destination is <5 minutes, the location of the departure stop is at the Lubuk Buaya bus stop, the destination area is Lubuk Buaya urban village, and the reasons for choosing the bus are because of the safety and the convenience of the bus.

scholarly journals Performance level analyses of public transportation using importance-performance analysis method

2018 ◽  
Vol 147 ◽  
pp. 02001 ◽  
Author(s):  
Nursyamsu Hidayat
Keyword(s):  
Information Systems ◽  
Performance Analysis ◽  
Service Quality ◽  
Travel Time ◽  
Decision Maker ◽  
Waiting Time ◽  
Public Transportation ◽  
Analysis Method ◽  
Bus Stop ◽  
Bus Travel Time

Yogyakarta, one of the middle cities in Indonesia, has been developing BRT system named Trans Jogja to reduce growth of motorization. However, the performance tends to decrease year by year, therefore the system and management upgrading must be carried out continuously to restore public trust. This research tries to investigate public satisfaction, their expectation, and some attributes considered important based on public’s perspective using IPA method that can be used as useful information systems to evaluate service quality by prioritizing or focusing on areas where improvement is needed. The results reveal that decision maker must focus and allocate their resources to improve Trans Jogja system on the following attributes: a) keep punctuality, b) shorten waiting time in the bus stop, c) improve bus comfort, d) provide safety for child passenger, e) improve bus stop comfort, f) create new bus route to enlarge accessibility, and g) shorten bus travel time.

Scheduling a Bus Fleet for Evacuation Planning Using Stop-Skipping Method

2021 ◽  
pp. 036119812110200
Author(s):  
Hu Zhao ◽  
Shumin Feng ◽  
Yusheng Ci
Keyword(s):  
Waiting Time ◽  
Ant Colony Algorithm ◽  
Programming Model ◽  
Peer To Peer ◽  
Mathematical Programming Model ◽  
Fleet Size ◽  
Bus Stop ◽  
Passenger Demand ◽  
Service Strategies ◽  
Bus System

Sudden passenger demand at a bus stop can lead to numerous passengers gathering at the stop, which can affect bus system operation. Bus system operators often deal with this problem by adopting peer-to-peer service, where empty buses are added to the fleet and dispatched directly to the stop where passengers are gathered (PG-stop). However, with this strategy, passengers at the PG-stop have a long waiting time to board a bus. Thus, this paper proposes a novel mathematical programming model to reduce the passenger waiting time at a bus stop. A more complete stop-skipping model that including four cases for passengers’ waiting time at bus stops is proposed in this study. The stop-skipping decision and fleet size are modeled as a dynamic program to obtain the optimal strategy that minimizes the passenger waiting time, and the optimization model is solved with an improved ant colony algorithm. The proposed strategy was implemented on a bus line in Harbin, China. The results show that, during the evacuation, using the stop-skipping strategy not only reduced the total waiting time for passengers but also decreased the proportion of passengers with a long waiting time (>6 min) at the stops. Compared with the habitual and peer-to-peer service strategies, the total waiting time for passengers is reduced by 31% and 23%, respectively. Additionally, the proportion of passengers with longer waiting time dropped to 43.19% by adopting the stop-skipping strategy, compared with 72.68% with the habitual strategy and 47.5% with the peer-to-peer service strategy.

scholarly journals Analisis Tingkat Pelayanan Terminal Bandar Laksamana Indragiri

2021 ◽  
Vol 18 (2) ◽  
pp. 141-155
Author(s):  
Bayu Budi Irawan ◽  
Momon Momon
Keyword(s):  
Performance Analysis ◽  
Load Factor

Terminal Bandara Laksamana Indragiri (BLI) merupakan salah satu terminal Tipe B yang berada di Kabupaten Indragiri Hilir. Terminal ini mulai beroperasi pada tahun 2012 namun saat ini belum optimal dalam memberikan pelayanan. Tujuan penelitian ini adalah untuk menilai tingkat kelayakan terminal BLI sehingga mampu memberikan pelayanan yang lebih baik. Hasil penelitian dapat digunakan sebagai pertimbangan dalam peningkatan kinerja terminal. Metode yang digunakan untuk melakukan penilaian adalah analisis Importance Performance Analysis (IPA), SWOT, Load Factor, kelayakan terminal dan kesesuaian Standar Pelayanan Minimal (SPM). Berdasarkan hasil IPA didapatkan rata-rata tingkat kesesuaian pelayanan terminal BLI adalah 58,61%. Analisis SWOT menunjukkan kondisi terminal berada di kuadran 1 dan nilai Load factor 60-100%. Analisis kelayakan terminal menunjukkan bahwa aksesibilitas menjadi permasalahan utama. Untuk Analisis SPM didapatkan hasil bahwa kondisi fasilitas pelayanan memerlukan perbaikan ringan dan perawatan secara berkala.

scholarly journals Intelligent Buses in a Loop Service: Emergence of No-Boarding and Holding Strategies

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Vee-Liem Saw ◽  
Luca Vismara ◽  
Lock Yue Chew
Keyword(s):  
Reinforcement Learning ◽  
Phase Difference ◽  
Waiting Time ◽  
Learning Process ◽  
Average Waiting Time ◽  
Bus Stop ◽  
Emergent Behaviour ◽  
Reasonable Amount ◽  
Bus Stops ◽  
Simulation Time

We study how N intelligent buses serving a loop of M bus stops learn a no-boarding strategy and a holding strategy by reinforcement learning. The no-boarding and holding strategies emerge from the actions of stay or leave when a bus is at a bus stop and everyone who wishes to alight has done so. A reward that encourages the buses to strive towards a staggered phase difference amongst them whilst picking up passengers allows the reinforcement learning process to converge to an optimal Q-table within a reasonable amount of simulation time. It is remarkable that this emergent behaviour of intelligent buses turns out to minimise the average waiting time of commuters, in various setups where buses move with the same speed or different speeds, during busy as well as lull periods. Cooperative actions are also observed, e.g., the buses learn to unbunch.

Analysis of the Stiffness of Hirth Couplings in Rod-Fastened Rotors Based on Experimental Modal Parameter Identification

2014 ◽  
Author(s):  
Xin Liu ◽  
Qi Yuan ◽  
Yang Liu ◽  
Jin Gao
Keyword(s):  
Performance Analysis ◽  
Parameter Identification ◽  
Gas Turbine ◽  
Dynamic Performance ◽  
Load Factor ◽  
Stiffness Coefficient ◽  
Modal Parameter ◽  
Modal Parameter Identification ◽  
Tightening Force ◽  
Dynamic Performance Analysis

Hirth couplings are widely used to transport torque between discs in turbine machinery for the advantages of precise centering, reliable positioning and excellent structural stability. However, the stiffness of the rotor segment with Hirth couplings is less than that of the integrated structure because it is weaken in the discontinuous structure. For the rotor segment with Hirth couplings, there are two types of contact status depending on the relationship between the separate stress and the compression stress. The first type is that the whole zone of Hirth couplings is in contact, where all of the Hirth couplings make contribution to the stiffness of the rotor segment. The second type of contact status is that some zones of the Hirth couplings are separated, where the equivalent stiffness of the rotor segment is only determined by the zones which are in contact. Obtaining accurate stiffness of Hirth couplings is of great significance in rotor dynamic performance analysis. In this study, the flexural stiffness of Hirth couplings of a gas turbine was calculated by three dimensional (3D) nonlinear contact Finite Element Method (FEM), and based on which the natural frequencies of a rod-fastened rotor were investigated. The stiffness modifying method which modifies the elasticity modulus of the material in the connection segment was used to conduct modal analysis in order to evaluate the effect of the stiffness weakening of the Hirth couplings. One experimental rotor with Hirth couplings and a central tie rod was designed to verify the theoretical and numerical analysis results. According to the results, the stiffness coefficient is constant when the load factor γ is less than 1.0, which means the stiffness of the Hirth couplings segment is almost constant when the pre-tightening force is large enough to keep the whole zone of the Hirth couplings in contact. The stiffness coefficient constant is about 0.32 (specific for the investigated model). And the stiffness coefficient drops dramatically when the load factor γ exceeds 1.0, which indicates that the stiffness of the Hirth couplings segment decreases dramatically since the pre-tightening force is insufficient and the Hirth couplings are separated. The Hirth couplings segment stiffness obtained by experimental modal parameter identification turned out to be consistent with the calculated results by FEM. The modified stiffness of the Hirth couplings segment were applied on the dynamic performance analysis of a real gas turbine rotor and the accuracy of calculating results was improved.

scholarly journals Analisis Peningkatan Kualitas Pelayanan Pasien Menggunakan Metode SERVQUAL dan Importance Performance Analysis (IPA)

2020 ◽  
Vol 2 (1) ◽  
pp. 28
Author(s):  
Devina Vanesa ◽  
Firman Firman ◽  
Hendri Andi Mesta
Keyword(s):  
Performance Analysis ◽  
Health Service ◽  
Service Quality ◽  
Waiting Time ◽  
Health Workers ◽  
Air Conditioner ◽  
Priority Level ◽  
Service Information ◽  
Transaction Services ◽  
Improve Service Quality

Purpose - This study aims to determine the suitability of the level of perception and expectations ofthe patients with the services provided Padang Panjang Hospital and to determine whichservices should be prioritized to be improved. In addition, the aim was also to determinethe priority level competitive when compared with its peers. The calculation result of Servicequality analyze that all of attributes have gap score average -0.38. Results of priorityattributes with analysis Importance of Performance Analysis include: 6 attributes with the highest gap score: 1) Health workers respond to services immediately when needed(-1.21), 2) Completeness of supporting facilities in hospitalization (bed, chair, air conditioner, etc.)(1.06), 3) Hospitals have clear health service information (0.83), 4) Cleaning Service is always available(-0.63), 5) Waiting time for transaction services at the cashier fast and accurate(-0.59), and 6) Conformity of the results of services obtained with those that should be provided at the inpatient installation(0.47).This priority will be input to the hospital as a consideration to improve service quality. Keywords: Service Quality, SERVQUAL, IPA

scholarly journals The Waiting-Time Paradox

2021 ◽  
Vol 8 ◽  
Author(s):  
Naoki Masuda ◽  
Mason A. Porter
Keyword(s):  
Waiting Time ◽  
Bus Stop ◽  
Bus Schedule

Suppose that you are going to school and arrive at a bus stop. How long do you have to wait before the next bus arrives? Surprisingly, it is longer—possibly much longer—than what you might guess from looking at a bus schedule. This phenomenon, which is called the waiting-time paradox, has a purely mathematical origin. In this article, we explore the waiting-time paradox, explain why it occurs, and discuss some of its implications (beyond the possibility of being late for school).

EASYBUS-Bus Monitoring and Searching System

2014 ◽  
Vol 568-570 ◽  
pp. 1621-1624
Author(s):  
Shuai Ma ◽  
Xin Gao ◽  
Bing Rui Dong ◽  
Qing Qing Wang ◽  
Hai Yang Sun
Keyword(s):  
Waiting Time ◽  
Radio Frequency Identification ◽  
Dynamic Information ◽  
The Road ◽  
Bus Stop ◽  
Online Maps ◽  
Frequency Identification ◽  
On The Road ◽  
Vehicle Information ◽  
Exchange Data

With the development of the Internet, people come to use it frequently to search bus lines, such as Google maps, Baidu maps, etc. But these online maps have the information only about bus lines, stops, but the information how long bus will arrive. The paper designs a bus monitoring and searching system to forecast bus waiting time. The system sets up Radio Frequency Identification Technology (RFID) equipment at every bus stop to identify the dynamic information and exchange data with buses on the road; Rely on Global Positioning System (GPS) technology, we obtain the real-time location of the target vehicle information, and through the geographic information system (GIS), the system show the condition of the vehicle and the road network in the electronic map which helps bus companies to monitor easily. Using the Android software, designed for users, users can check waiting time any time any where. The waiting time error in the system is less than two minutes.

Sign in / Sign up

Export Citation Format

Share Document